Head Pose Prediction
for Prospectively-Corrected EPI During Rapid Subject Motion

The
final goal of this project is fMRI of moving subjects using prospective
motion correction. An optical tracking system provides head pose data in six
degrees of freedom, which are used to prospectively update the imaging
volume. However, latency delays in the tracking system, and the effective
echo time of the sequence, result in a time lag between position measurement
and the acquisition of the central k-space line. This causes in errors in
slice registration. This work shows that motion prediction using a Kalman
filter can solve this problem.